Ulrich Frey – författare

What can be done to ensure natural resources aren't exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey's system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.

What can be done to ensure natural resources aren''t exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey''s system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.

What can be done to ensure natural resources aren''t exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey''s system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.

Wir machen immer wieder Fehler, auch in der Wissenschaft. Diese Arbeit zeigt, daß Wissenschaftler bestimmte Denkfehler kaum vermeiden können - verblüffenderweise unabhängig von Disziplin oder Epoche. Woher kommt dieser ''blinde Fleck''? Und kann man vielleicht doch etwas dagegen tun? Die durch die Kognitionspsychologie erforschten häufigsten Fehler werden in Fallstudien aus Physik, Biologie, Medizin und Psychologie nachgewiesen und ihre Ursachen wissenschaftstheoretisch analysiert - die Strukturgleichheit ist erstaunlich.

Dieses Buch analysiert die wichtigsten Einflussfaktoren für das Management sozial-ökologischer Systeme. An vielen natürlichen Ressourcen betreibt der Mensch Raubbau. Dennoch gibt es Gegenbeispiele nachhaltiger Nutzung von Gemeingütern. Wichtige Fragen wie zum Beispiel: Was zeichnet erfolgreiche Nutzung aus? werden in diesem Buch beantwortet. Anhand von drei der weltweit größten Datensätze zu Fischerei-, Waldbewirtschaftungs- und Bewässerungssystemen werden Erfolgsfaktoren empirisch untersucht und für den Leser einzeln beleuchtet.Das Buch entwickelt über eine Bandbreite von Methoden – Regressionen, Entscheidungswälder und neuronale Netzwerke – prognosestarke und robuste empirisch fundierte Modelle,um ein neues Licht auf bereits häufig untersuchte Faktoren zu werfen, wie zum Beispiel Konfliktlösungsmechanismen.Der Autor stellt 24 Erfolgsfaktoren als Synthese aus seinen Modellen vor, die den ökologischen Erfolg in der Bewirtschaftung natürlicher Ressourcen sehr gut erklären.